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Sql Translation

Checked
microck·vlatest·database

Provides translation guidance and assistance for working with databases and data persistence.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add microck/ordinary-claude-skills --skill sql-translation -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

microck

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Only contacts known or declared hosts: github.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    github.comsource host

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned microck/ordinary-claude-skills at 1056d293d4.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
1056d293d4
Manifest
skills_all/sql-translation/SKILL.md
Scanned
2 files, 189 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The sql-translation skill translates natural language questions into SQL queries. It can convert user requests for data retrieval, filtering, or aggregation into executable SQL statements. This allows AI agents to interact with databases without requiring direct SQL expertise.

When to use it

  • Data Analysis: When you need an agent to extract specific information from a database based on a natural language request (e.g., "What were the sales for Q3?").
  • Report Generation: Automate report creation by having the agent translate requests like "Show me the top 10 customers" into SQL and execute it against your data warehouse.
  • Interactive Data Exploration: Enable users to explore database content using plain language, rather than requiring them to learn SQL syntax.
  • Data Validation: Translate complex validation rules described in natural language into SQL queries for automated checks.

Key capabilities

  • Natural Language to SQL conversion
  • Database interaction via generated SQL queries

Example prompts

  • "Get me the names of all customers who placed an order last month."
  • "Show me the average price of products in the 'electronics' category."
  • "How many employees are older than 30?"

Tips & gotchas

The quality of SQL translation depends heavily on the clarity and specificity of the natural language prompt. Providing context about the database schema can improve accuracy.